1. Intelligent Stream Mining and Strategic Response Solutions “ Real-time Internet conversations occur on many platforms from blogs to social media sites and new web superstars like Twitter. Tools that you have used in the past, like Google or their email alerts, cannot keep pace with these conversations.”
2. Our Core Strategy Build Web Apps that look into the Data Mine: Live Data Mine of Conversations and Mentions Social Search Engagement Work Flow Real Time & Historical Analysis
21. Doritos and Bud Light ran a series of themed ads Doritos ran more ads and received more positive sentiment tweets
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26. SuperBowl By Volume Mullen and Radian6 O’Reilly and PeopleBrowsr O’Reilly and PeopleBrowsr By Volume By Positive http://www.slideshare.net/peoplebrowsr/superbowl-3231030 Contact me for an xls of the Brands Tweets [email_address]
27. Hollywood Company Size: $200 Million in Revenue Social Media Spend: $20K Goal: Evaluate impact of non-Traditional Media on the Social Media sphere
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30. Filtering a high Velocity Stream Seek an effective way to measure brand sentiment accurately. The goal is to find a list of influencers speaking in both positive and negative terms and engage. Risks: Stream includes spam, affiliates, and other non-relevant mentions . Velocity 10,000 Mentions/day
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32. Sentiment Analysis 95% accuracy Vs 70-80% automation alone SENTIMENT One Build a live stream Two Analyze with a special dictionary Three I ncrease quality with Real-time human re-sorting Mechanical Turk HISTORICAL ARCHIVE One Identify Keyword @name Two Set Time Length (30d) Three Search archive (360d)
33. one we build a live stream for an industry or a group using @Names or Keywords. Eg: Foo Camp attendees and the companies that they represent or Airlines. How it works
34. How it works two we then analyze that stream with a special dictionary for the industry or group and sort the results into buckets.
35. How it works three increase quality with real time human re-sorting